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Harness the power of MongoDB Atlas and Amazon Web Service’s (AWS) to build sophisticated, enterprise-ready intelligent applications. Integrate AWS with the versatility of a document model and native Vector Search to ensure scalability, and security.
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Building Gen AI Applications with MongoDB Atlas and Amazon Bedrock

✅ Sign-up for a free cluster at → https://mdb.link/LbjD4UMw2JQ-register ✅ Get help on our Community Forums → https://mdb.link/LbjD4UMw2JQ-forums - MongoDB Atlas and Amazon Bedrock together offer a seamless and secure way to bring real-time data to gen AI applications and help startups move from ideation to scale. In this session, we’ll give a brief overview of the MongoDB Atlas and Amazon Bedrock joint solution which gives startups who want to easily build applications with generative AI an “easy button” for implementing RAG with Atlas Vector Search. Our local experts will also answer questions. Users can walk away expecting to know the basics of how to build applications that: Leverage unstructured data for valuable insights Deliver personalized, gen AI-powered experiences Provide intelligent, context-aware search and recommendation features Join MongoDB for Startups and AWS Activate for access to free credits, technical guidance, and more....
AWSAtlas

Jul 19, 2024
Tutorial

Part #2: Create Your Model Endpoint With Amazon SageMaker, AWS Lambda, and AWS API Gateway

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Jul 11, 2024 | 7 min read
Tutorial

Part #1: Build Your Own Vector Search with MongoDB Atlas and Amazon SageMaker

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Jul 11, 2024 | 4 min read
AWS Articles
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MongoDB Orchestration With Spring & Atlas Kubernetes Operator

Graphic of Kubernetes and MongoDB

Jun 12, 2024 | 13 min read
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Audio Find - Atlas Vector Search for Audio

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Mar 08, 2024 | 11 min read
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Optimizing your Online Archive for Query Performance

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Jan 23, 2024 | 3 min read
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Tutorial

Part #2: Create Your Model Endpoint With Amazon SageMaker, AWS Lambda, and AWS API Gateway

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Jul 11, 2024 | 7 min read
Tutorial

Part #1: Build Your Own Vector Search with MongoDB Atlas and Amazon SageMaker

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Jul 11, 2024 | 4 min read
Tutorial

The Great Continuous Migration: CDC Jobs With Confluent Cloud and Relational Migrator

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Jul 09, 2024 | 12 min read
AWS Videos
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Building Gen AI Applications with MongoDB Atlas and Amazon Bedrock

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Jul 19, 2024
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Unlocking AI Potential with AWS

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Jul 11, 2024 | 11 min
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AWS and Generative AI - Services, Deployments and RAG with Bedrock

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Mar 19, 2024 | 73 min
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Video

Building Gen AI Applications with MongoDB Atlas and Amazon Bedrock

✅ Sign-up for a free cluster at → https://mdb.link/LbjD4UMw2JQ-register ✅ Get help on our Community Forums → https://mdb.link/LbjD4UMw2JQ-forums - MongoDB Atlas and Amazon Bedrock together offer a seamless and secure way to bring real-time data to gen AI applications and help startups move from ideation to scale. In this session, we’ll give a brief overview of the MongoDB Atlas and Amazon Bedrock joint solution which gives startups who want to easily build applications with generative AI an “easy button” for implementing RAG with Atlas Vector Search. Our local experts will also answer questions. Users can walk away expecting to know the basics of how to build applications that: Leverage unstructured data for valuable insights Deliver personalized, gen AI-powered experiences Provide intelligent, context-aware search and recommendation features Join MongoDB for Startups and AWS Activate for access to free credits, technical guidance, and more....
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Play Button

Jul 19, 2024
Quickstart

Creating an API With the AWS API Gateway and the Atlas Data API

Let's look at how the Atlas Data API is a great choice for accessing MongoDB Atlas from AWS Lambda Functions by creating a custom API. ...
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Jul 12, 2024
John Page
Tutorial

Part #3: Semantically Search Your Data With MongoDB Atlas Vector Search

In this series, we look at how to use Amazon SageMaker and MongoDB Atlas Vector Search to semantically search your data....
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Jul 11, 2024
Dominic Frei
Tutorial

Part #2: Create Your Model Endpoint With Amazon SageMaker, AWS Lambda, and AWS API Gateway

In this series, we look at how to use Amazon SageMaker and MongoDB Atlas Vector Search to semantically search your data....
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Jul 11, 2024
Dominic Frei
Tutorial

Part #1: Build Your Own Vector Search with MongoDB Atlas and Amazon SageMaker

In this series, we look at how to use Amazon SageMaker and MongoDB Atlas Vector Search to semantically search your data....
Amazon SageMaker Logo

Jul 11, 2024
Dominic Frei
Video

Unlocking AI Potential with AWS

✅ Sign-up for a free cluster at → https://mdb.link/YRW6W986jz4-register ✅ Get help on our Community Forums → https://mdb.link/YRW6W986jz4-forums - Join Jesse Hall as he talks with Igor Alekseev from AWS about the latest in AI technology and AWS's innovative solutions. Igor, a partner solutions architect at AWS, delves into the details of Bedrock and its new capabilities, including automated embedding generation and integration with MongoDB. Learn about the practical applications of these technologies, the importance of model optimization, and the future of AI in this informative discussion. Whether you're a developer or a tech enthusiast, this episode provides valuable insights into the evolving world of AI....
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Jul 11, 2024
Tutorial

The Great Continuous Migration: CDC Jobs With Confluent Cloud and Relational Migrator

This tutorial explains how to configure CDC jobs on your relational data from MySQL Workbench to MongoDB Atlas using MongoDB Relational Migrator and Confluent Cloud....
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Jul 09, 2024
Anaiya Raisinghani
Quickstart

MongoDB With Bedrock Agent: Quick Tutorial

This notebook demonstrates how to integrate MongoDB with AWS Bedrock to build AI agents. It covers setting up the environment, configuring the database, and creating an AI agent using AWS Bedrock services, with practical examples and code snippets....
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Jul 01, 2024
Pavel Duchovny
Tutorial

Getting Started with MongoDB and AWS Codewhisperer

...
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Jun 24, 2024
Shane McAllister
Tutorial

MongoDB Atlas Vector Search and AWS Bedrock modules RAG tutorial

Explore our comprehensive tutorial on MongoDB Atlas Vector Search and AWS Bedrock modules for creating a dynamic database assistant for product catalogs. This guide covers building an application for seamless product searching using various inputs such as single products, lists, images, and recipes. Learn to easily find ingredients for a recipe or the best organic almonds with a single search. Ideal for developers and product managers, this tutorial provides practical skills for navigating complex product databases with ease....
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Jun 24, 2024
Pavel Duchovny